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Journal : INTERNAL (Information System Journal)

Automation Watering System Berbasis IoT Cerdas pada Bawang Merah Marwondo Marwondo; Sardjono Sardjono; Michael A. Yonathan
INTERNAL (Information System Journal) Vol. 6 No. 2 (2023)
Publisher : Masoem University

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Abstract

In the current era of rapid technological development, smart irrigation systems are increasingly needed in cultivating crops, including shallots. This system was built to increase plant productivity by using smart irrigation to anticipate climate changes that occur. Through the use of IoT technology and expert systems, this system can provide effective solutions in optimizing the growth and quality of shallots. This Automation Watering System uses a microcontroller as the brain of the system which is connected to various sensors and actuators. The microcontroller takes data from sensors and sends it to the server via a WiFi network or other wireless protocol. The server then analyzes the data using an expert system that has been programmed with expert knowledge in the field of shallot cultivation. This Automation Watering System is able to optimize water use. and avoid excess or lack of watering. The results showed that with the integration of the Internet of Things (IoT) and expert systems, this system can provide smart solutions in shallot cultivation, ensure optimal growth, and produce better harvest results.
Penerapan Fuzzy Multi Criteria Decision Making untuk Menentukan Bibit Ikan Lele Unggul di Kabupaten Bandung Marwondo; Nugroho, Abdul Hadi; Hidayah, Taufik; Nugraha, Dimas Adi
INTERNAL (Information System Journal) Vol. 7 No. 1 (2024)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v7i1.993

Abstract

The success of catfish cultivation is most influenced by the quality of the seeds. Proper selection of superior catfish seeds can increase crop yields and breeder profits. Seed selection needs to be assisted by the right decission making method. The aim of this research is to apply Fuzzy Multi Criteria Decision Making (FMCDM) in determining superior catfish seeds. Criteria for determining catfish seeds include growth rate, disease resistance, level of independence, seed size, and seed price. FCMC can support decision making for various criteria so that it can be used in determining superior catfish seeds. The research results show that FCMC can be used to determine superior catfish seeds. African catfish (clarias gariepinus) seeds were selected as superior seeds with the highest total score for each degree of optimism. At the optimization degree ? = 0, the total integral value reaches 0.349, at the optimization degree ? = 0.5, the total integral value reaches 0.417, and at the optimization degree ? = 1, the total integral value reaches 0.485, the highest compared to the other two seed variants. This research is useful in increasing catfish harvests, increasing profits for catfish farmers, and increasing the efficiency and effectiveness of catfish cultivation, especially in the Bandung Regency area.